dataframe
How do I combine two data-frames based on two columns? [duplicate]
开发者_JS百科This question already has answers here: How to join (merge) data frames (inner, outer, left, right)[详细]
2023-03-20 09:21 分类：问答Subsetting in R, joining and calculating multiple repetitions
Here is a sample: > tmp labelvalue1开发者_JS百科value2 1aa_x_xxxxx 2bc_x_xxxxx 3aa_x_xxxxx 4bc_x_xxxxx[详细]
2023-03-18 13:38 分类：问答Deleting specific rows from a data frame
I am working with some US govt data which has a lengthy list of cities and zip codes. After some work, the data is in the following format.[详细]
2023-03-18 06:50 分类：问答how to not repeat same values when printing data frame?
I see that when Hadley Wickam prints data frame here, the values which dont change row over row dont get printed.[详细]
2023-03-18 06:39 分类：问答How can I produce a table into a data.frame?
I printed out the summary of a column variables as such: Please see below the summary table printed out from R:[详细]
2023-03-18 05:00 分类：问答Create a new data frame column based on the values of another column
Let\'s say I have the following data frame. dat <- data.frame(city=c(\"Chelsea\",\"Brent\",\"Bremen\",\"Olathe\",\"Lenexa\",\"Shawnee\"),[详细]
2023-03-17 13:54 分类：问答Collapse data frame by group using different functions on each variable
Define df<-read.table(textConnection(\'egg 1 20 a egg 2 30 a jap 3 50 b jap 1 60 b\')) s.t. > df V1 V2 V3 V4[详细]
2023-03-16 12:16 分类：问答R: How to do fastest replacement in R?
I have a input dataframe like this (the real one is very large, so I want to do it faster): df1 <- data.frame(A=c(1:5), B=c(5:9), C=c(9:13))[详细]
2023-03-16 11:26 分类：问答Calculating multiple functions on multiple collapsed data frames
I\'m fairly new to R and have been trying to get my head around the more elegant ways to use the many vector based functions available. Many of the other answers offer part of a solution but I can\'t[详细]
2023-03-16 08:40 分类：问答Given an R dataframe with column A, how do I create two new columns containing all ordered combinations of A
I have a data.frame with one id column (x below), and a number of variables (y1,y2 below). x y1 y2 11 43 55[详细]
2023-03-16 02:25 分类：问答
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